Triple
T7416251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maeda clan |
E171137
|
entity |
| Predicate | mainDomain |
P1902
|
FINISHED |
| Object | Kaga han |
E174905
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kaga han | Statement: [Maeda clan, mainDomain, Kaga han]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaga han Context triple: [Maeda clan, mainDomain, Kaga han]
-
A.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
B.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
C.
Kaga Hyakumangoku
chosen
Kaga Hyakumangoku refers to the historical wealth and prosperity of Japan’s Kaga Domain, famed for its rich culture, powerful feudal lords, and flourishing arts and crafts.
-
D.
Hōshō
Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
-
E.
Naikaku
Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c7ae0c8190a8348d6223aeeecc |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ee704a8819088f72135272404cb |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.